Augmenting input at time t based on output at time t-1

Element-Research / rnn

Recurrent Neural Network library for Torch7's nn

BSD 3-Clause "New" or "Revised" License

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Augmenting input at time t based on output at time t-1 #367

Open suryabhupa opened 7 years ago

suryabhupa commented 7 years ago

Normally, when decoding with an LSTM, the output at time t-1 is used as the input at time t. Instead, I want the input at time t to be [output{t-1} f(output{t-1})], where f is feedforward neural network. Does anyone know how to cleanly incorporate this into the code?

squidszyd commented 7 years ago

same question